SpatialPack — 3D asset readiness MCP server

Read from the package source without running it. The installed server may list more.

• analyzewrite action

  Run the SpatialPack analyzer against a GLB or glTF file. Returns the full structured report: vertex / triangle / texture / animation counts, cohort tags (texture, animation, poly), KHR / EXT extensions used, estimated GPU texture memory, and a per-target compatibility rollup (Three.js, Babylon, model-viewer, AR Quick Look, Scene Viewer). Read-only — does not modify the input.

• bundle_glb_zip

  Pack a primary GLB plus sidecar files (textures/, etc.) into a single `.glb.zip` archive with a versioned manifest. Sidecar paths inside the archive default to their basenames; pass `sidecar_arcnames` to override. Auto-DEFLATE per entry, falling back to stored when DEFLATE wastes bytes. Returns the manifest and on-disk size.

• canonical_cid

  Compute the SPEC-0055 16-char hex SHA-256 prefix of the canonicalized geometry stream. Robust to mesh / primitive / attribute ordering and endianness; excludes textures and materials. Use as a deterministic geometry-identity key for caching and deduplication.

• cohort_recipes_buildwrite action

  Run TPE recipe-search per cohort bucket (poly × animation × material) using a representative subset of the corpus. Emits a sidecar `cohort-recipes.json` the runtime / batch pipeline can use to pick the right recipe for any given asset by its cohort tags.

• cohort_recipes_lookup

  Read a cohort-recipes.json manifest and resolve the recipe for the given cohort tags. Falls back to same-poly+animation, then same-poly only, then null.

• commerce_readiness

  SPEC-0124: score whether a GLB / glTF is commerce-ready for AR Quick Look + web. Composes ACG-2.0 conformance with AR-parity (lossy materials like KHR_materials_transmission, structural USDZ risks, geometry) into ONE verdict — ready | warnings | not-ready — plus explicit must-fix blockers and review warnings. Read-only; does not modify the input. Use this to gate AI-generated 3D output before publ

• compare_images

  Pixel-precise comparison of two PNG buffers of identical dimensions. Returns differing-pixel count, MAE per channel, ΔE94 mean/max/p95 (CIE perceptual colour distance), Sobel-edge delta, and SSIM. Inputs are file paths (sandbox-relative).

• compatibility_checkwrite action

  Run the analyzer against the input asset and surface the per-target compatibility matrix: Three.js, Babylon.js, model-viewer, AR Quick Look, Scene Viewer. Returns warnings and notes per target so a caller can pick a delivery format.

• diagnose_assetwrite action

  Run analyze + compatibility-check on the asset and return a structured list of recommendations the caller can act on (e.g. "enable channelPack — material has separate occlusion + metallicRoughness"). Each recommendation includes a `tool` + `suggested_args` so the model can chain into `optimize` with confidence.

• explain_budget

  Return the SPEC-0030 cohort budget table (texture / animation / poly), the SPEC-0046 cohort attribute-quantization budgets, and the SPEC-0059 per-cohort meshopt method scheduler. Pure data — useful for the model to explain trade-offs to the user.

• find_similar_assets

  Embed the query asset, query an on-disk AssetEmbeddingIndex, and return the top-K nearest neighbors by cosine similarity. The index must have been built by `spatialpack index build` (or the equivalent core helpers); pass its sandbox-relative path. K defaults to 5. Read-only — does not modify either the query or the index.

• list_presets

  Return the configured preset ids (web-mobile, web-desktop, quality-max) and their key budget knobs: maxTextureSize, useWebpTextures, preferKtx2, meshoptLevel.

• model_ready

  SPEC-0161: score whether a USDZ will load + render in Safari 27's HTML <model> element and Apple AR Quick Look. Composes USDZ packaging conformance with the AR-Quick-Look render constraints and the <model>-specific deltas (centimeter 100x scale bug, .usdz extension/MIME negotiation, empty-stage) into ONE verdict — ready | warnings | not-ready — plus explicit must-fix blockers and review warnings.

• phash

  Compute the SPEC-0052 64-bit DCT-based perceptual hash of a PNG. Returns a 16-character hex string. Pair with `phash_distance` to short-circuit visual diffs when two renders are byte-equivalent.

• phash_distance

  Compute the Hamming distance (count of differing bits) between two 16-char hex pHashes. Convention: ≤ 5 = near-duplicate, 6–15 = ambiguous, > 15 = clearly different.

• recipe_search_with_inheritancewrite action

  Run multi-fidelity TPE recipe search (SPEC-0044) against the input asset, but seed the queue with the winning recipes already cached for the input's k nearest neighbors in the supplied AssetEmbeddingIndex. Composes SPEC-0087 Phase 2 (k-NN recipe inheritance) + SPEC-0096 (index management). Visual quality gate is OFF — same constraint as `recipe_search`.

• safety_gate

  Apply SpatialPack's cohort-aware quality gate (SPEC-0036 thresholds + SPEC-0090 reporting) to a set of per-asset visual-diff metrics. Each input asset carries its cohort tags (textured/untextured · animated/static · low/medium/high poly) and worst-of-N ssim/ΔE94/edgeDelta numbers from an orbit-8 render. Returns per-asset verdicts plus an aggregate `summary` (`pass` iff every asset passed); optiona

• unbundle_glb_zip

  Read a `.glb.zip` and write the primary GLB + every sidecar to `out_dir`, preserving the relative paths recorded in the manifest. Verifies CRC32 + cross-checks manifest names against archive entries. Returns the manifest and per-entry output paths.

• usdc_to_usda

  Read a binary USDC file and emit the equivalent USDA text — the same conversion the Pixar `usdcat` tool performs. Returns the rendered text directly; pass `output_path` to also write it to disk (sandbox-relative). Useful for inspecting a USDZ payload, diffing generated USDC against a Pixar reference, or letting an AI agent read scene structure as plain text.

• usdz_validate

  Open a .usdz, walk its contents, and report compatibility warnings (size budget, asset-ref resolution, missing textures, file-size cap). Pure-JS read; no converter required.

• Code scan100 source files scanned25/25
• –Live reliabilityno gateway calls yet and no remote to proben/a
• –Tool poisoningtools not inspected (local package is not executed); not countedn/a
• Auth qualitylocal package, no credentials required12/15
• Maintenancerepository not readable: repo not found3/15
• Maintainer identityverified namespace with website, no repo4/10

Safety score

68/100

higher than 33% of 4,460 AI and agents servers

Tools

20

the typical AI and agents server has 6

Tools that change things

25%

typical: 0%. Fewer write tools means less an agent can break

Downloads a week

15

more than 4% of 1,538 AI and agents servers with a package

SpatialPack — 3D asset readiness: common questions

Is SpatialPack — 3D asset readiness MCP server safe?

With care: it is graded C, so read the findings first (68/100). Read the SpatialPack — 3D asset readiness safety report

How do I install SpatialPack — 3D asset readiness?

It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.

Does SpatialPack — 3D asset readiness need an API key?

No secret keys are declared. It reads 2 settings from the environment.

Is SpatialPack — 3D asset readiness maintained?

The latest release is v0.1.0.

What can I use instead of SpatialPack — 3D asset readiness?

Servers from other publishers that do the same job: Agent-Native Assets MCP server, Mockserver MCP server and TradeOS (test) MCP server.

How does SpatialPack — 3D asset readiness compare with other AI and agents MCP servers?

safety score 68/100 (higher than 33% of 4,460 AI and agents servers); tools 20 (the typical AI and agents server has 6); tools that change things 25% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.